Affiliation:
1. University of Oxford abi.adams-prassl@economics.ox.ac.uk
2. Singapore Management University
3. Turker-Nation
4. University of Pennsylvania
Abstract
Abstract
This paper analyses gender differences in working patterns and wages on Amazon Mechanical Turk, a popular online labour platform. Using information on 2 million tasks, we find no gender differences in task selection nor experience. Nonetheless, women earn 20% less per hour on average. Gender differences in working patterns are a significant driver of this wage gap. Women are more likely to interrupt their working time on the platform with consequences for their task completion speed. A follow-up survey shows that the gender differences in working patterns and hourly wages are concentrated amongst workers with children.
Subject
Economics and Econometrics,Social Sciences (miscellaneous)
Cited by
3 articles.
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